We used GPT-2 variants [1]} as the main student question-answering model in our work. GPT-3 [2]} served as the teacher model for decomposing the complex problem into a series of simpler substeps. We used T5-large [3]} as the backbone of our question generator module with the main problem as input and sub-questions generated as output.
